Abstract

Due to the improvement of urbanization level and unreasonable development in China, many cities have begun to appear as “Ghost City”; that is, the phenomenon of high vacancy rate and low occupancy rate in urban areas. The emergence of this phenomenon will seriously affect the healthy development of cities. Therefore, the monitoring and analysis of the urban “Ghost City” index is of great significance to urban population and urban construction. This paper uses Landsat8 remote sensing image data, night light remote sensing image data, and resident population data of various cities and counties in Sichuan Province to calculate the “Ghost City” index, and obtains the “Ghost City” Index of prefecture-level cities and county-level cities in Sichuan Province. Based on the judgment criteria of the Ghost City, the calculation results show that three cities have become “Ghost City” within the research scope; eight cities have a tendency to develop into “Ghost City”; the rest of the cities have developed well and there has not been a “Ghost City” phenomenon. According to this conclusion, this paper studies the similarities and differences between the cities that are the ghost towns or the cities with the development trend of ghost towns, analyzes the reasons for the formation of ghost towns and makes suggestions for the urbanization of Sichuan Province, and provides reference for the direction of urban development and rational planning.

Highlights

  • This paper studies the similarities and differences between the cities that are the ghost towns or the cities with the development trend of ghost towns, analyzes the reasons for the formation of ghost towns and makes suggestions for the urbanization of Sichuan Province, and provides reference for the direction of urban development and rational planning

  • The administrative boundary vector data of Sichuan Province is overlapped with the night light remote sensing image, and the DMSP/OLS data of each city and county level city is obtained through the cropping in the GIS data management tool, and the data of night light intensity greater than 6 is obtained through attribute extraction, and after extraction, the data is extracted

  • According to the previous analysis of the ghost city index, the ghost towns in Sichuan Province are mainly distributed in the southeast, and the cities with ghost town development trends are mainly distributed in the northeast

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Summary

Introduction

The development and unreasonable development of the city led to the emergence of empty cities or ghost cities, that is, the phenomenon of high housing vacancy rate and low occupancy rate [2]. Due to the insufficient monitoring of the dynamic changes of urban population information, the phenomenon of “Ghost City” has appeared one after another. The emergence of this phenomenon has seriously affected the development of the city and restricted the advancement of urbanization, resulting in the waste of land resources and weakening urban operational efficiency. The analysis and monitoring of the “Ghost City” index, and through the analysis of the reasons for the formation of the ghost city phenomenon, propose corresponding countermeasures, and provide the basis for urban development and planning

Research Scope
Data Sources
Research Ideas and Methods
Population Spatialization
Analysis of Calculation Results
The Reason for the Formation of Ghost Towns
Conclusions and Suggestions
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